Please use this identifier to cite or link to this item:
Title: A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study
Authors: Martinez-Garcia, Alicia
Naranjo-Saucedo, Ana Belén
Rivas, Jose Antonio
Romero Tabares, Antonio
Marín Cassinello, Ana
Andrés-Martín, Anselmo
Sánchez Laguna, Francisco José
Villegas, Roman
Pérez León, Francisco De Paula
Moreno Conde, Jesús
Parra Calderón, Carlos Luis
metadata.dc.contributor.authoraffiliation: [Martinez-Garcia,A; Naranjo-Saucedo,AB; Rivas,JA; Villegas,R; Pérez León,FP; Moreno Conde,J; Parra Calderón,CL] Group of Research and Innovation in Biomedical Informatics, Biomedical Engineering and Health Economy, Institute of Biomedicine of Seville, IBiS / Virgen del Rocío University Hospital / CSIC / University of Seville, Seville, Spain. [Romero Tabares,A] Publications Department, Andalusian Institute of Emergencies and Public Safety, Seville, Spain. [Marín Cassinello,A; Andrés-Martín,A] Paediatrics Unit, Virgen Macarena University Hospital, Seville, Spain. [Sánchez Laguna,FJ] Department of Information Systems Coordination, Andalusian Health Service, Seville, Spain. [Parra Calderón,CL] Department of Innovation Technology, Virgen del Rocío University Hospital, Seville, Spain.
Keywords: Evidence-based medicine;Clinical decision support system;Scientific knowledge integration;Medicina basada en la evidencia;Sistemas de apoyo a decisiones clínicas;Conocimiento;Andalucía
metadata.dc.subject.mesh: Medical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans
Medical Subject Headings::Persons::Persons::Age Groups::Child
Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Pilot Projects
Medical Subject Headings::Information Science::Information Science::Medical Informatics::Medical Informatics Applications::Information Systems::Decision Support Systems, Clinical
Medical Subject Headings::Information Science::Information Science::Computing Methodologies::Software::Mobile Applications
Medical Subject Headings::Health Care::Environment and Public Health::Public Health::Accidents::Accident Prevention::Safety::Patient Safety
Medical Subject Headings::Geographical Locations::Geographic Locations::Europe::Spain
Medical Subject Headings::Disciplines and Occupations::Health Occupations::Evidence-Based Practice::Evidence-Based Medicine
Medical Subject Headings::Health Care::Health Care Facilities, Manpower, and Services::Health Personnel
Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Therapeutics::Clinical Protocols
Medical Subject Headings::Information Science::Information Science::Computing Methodologies::Artificial Intelligence::Knowledge Bases
Medical Subject Headings::Diseases::Respiratory Tract Diseases::Bronchial Diseases::Bronchitis::Bronchiolitis
Medical Subject Headings::Health Care::Health Services Administration::Patient Care Management::Delivery of Health Care
Medical Subject Headings::Geographical Locations::Geographic Locations::Europe::Spain
Issue Date: 10-Mar-2021
Publisher: JMIR Publications
Citation: Martinez-Garcia A, Naranjo-Saucedo AB, Rivas JA, Romero Tabares A, Marín Cassinello A, Andrés-Martín A, et al. A Clinical Decision Support System (KNOWBED) to Integrate Scientific Knowledge at the Bedside: Development and Evaluation Study. JMIR Med Inform. 2021 Mar 10;9(3):e13182
Abstract: Background: The evidence-based medicine (EBM) paradigm requires the development of health care professionals’ skills in the efficient search of evidence in the literature, and in the application of formal rules to evaluate this evidence. Incorporating this methodology into the decision-making routine of clinical practice will improve the patients’ health care, increase patient safety, and optimize resources use. Objective: The aim of this study is to develop and evaluate a new tool (KNOWBED system) as a clinical decision support system to support scientific knowledge, enabling health care professionals to quickly carry out decision-making processes based on EBM during their routine clinical practice. Methods: Two components integrate the KNOWBED system: a web-based knowledge station and a mobile app. A use case (bronchiolitis pathology) was selected to validate the KNOWBED system in the context of the Paediatrics Unit of the Virgen Macarena University Hospital (Seville, Spain). The validation was covered in a 3-month pilot using 2 indicators: usability and efficacy. Results: The KNOWBED system has been designed, developed, and validated to support clinical decision making in mobility based on standards that have been incorporated into the routine clinical practice of health care professionals. Using this tool, health care professionals can consult existing scientific knowledge at the bedside, and access recommendations of clinical protocols established based on EBM. During the pilot project, 15 health care professionals participated and accessed the system for a total of 59 times. Conclusions: The KNOWBED system is a useful and innovative tool for health care professionals. The usability surveys filled in by the system users highlight that it is easy to access the knowledge base. This paper also sets out some improvements to be made in the future.
metadata.dc.identifier.doi: 10.2196/13182
ISSN: 2291-9694 (Online)
Appears in Collections:01- Artículos - Hospital Virgen del Rocío
01- Artículos - Hospital Virgen Macarena
01- Artículos - IBIS. Instituto de Biomedicina de Sevilla
01- Artículos - Servicio Andaluz de Salud

Files in This Item:
File Description SizeFormat 
MartinezGarcia_AClinicalDecision.pdfArtículo original470,88 kBAdobe PDFView/Open
MartinezGarcia_AClinicalDecision_MaterialSuplementario.pdfMaterial suplementario126,85 kBAdobe PDFView/Open

This item is protected by original copyright

This item is licensed under a Creative Commons License Creative Commons